CN116307959A - A data processing method and device for material distribution - Google Patents

Abstract

The invention discloses a data processing method and device for material distribution. The method includes: obtaining real-time line edge information of materials; judging whether the real-time line edge information of materials satisfies the distribution conditions, and obtaining a first judgment result; when the first judgment result When it is true, use the preset material dynamic distribution rules to process the real-time line edge information of materials to obtain material distribution parameter information; use the preset distribution instruction generation rules to process material distribution parameter information to obtain a distribution instruction set; Collections are used to indicate material dispatch. It can be seen that the present invention can determine the delivery parameter information by judging the real-time line edge information and delivery conditions of materials and comprehensively processing the real-time line edge information of materials by using the dynamic material delivery rules, and generate delivery instructions for instructing material delivery. It is beneficial to realize the precise matching of material demand and distribution, thereby reducing the cost of material distribution and improving operation efficiency.

Description

A data processing method and device for material distribution

technical field

The invention relates to the technical field of data processing, in particular to a data processing method and device for material distribution.

Background technique

At present, material distribution is usually obtained by processing information such as material demand and delivery time based on manual statistical data, and it is still difficult to achieve accurate matching of material demand and delivery. Therefore, it is particularly important to provide a data processing method and device for material distribution to achieve accurate matching of material demand and distribution, thereby reducing material distribution costs and improving operational efficiency.

Contents of the invention

The technical problem to be solved by the present invention is to provide a data processing method and device for material distribution, which can synthesize the real-time line information of materials by judging the real-time line information of materials and delivery conditions and using the dynamic distribution rules of materials Processing to determine the distribution parameter information, and generate distribution instructions for instructing material distribution, which is conducive to the accurate matching of material demand and distribution, thereby reducing material distribution costs and improving operational efficiency.

In order to solve the above technical problems, the first aspect of the embodiment of the present invention discloses a data processing method for material distribution, the method includes:

Obtain real-time line edge information of materials;

Judging whether the real-time line edge information of the material satisfies the distribution condition, and obtains the first judgment result;

When the first judgment result is yes, use the preset material dynamic distribution rule to process the real-time line edge information of the material to obtain material distribution parameter information;

The material distribution parameter information is processed by using a preset distribution instruction generation rule to obtain a distribution instruction set; the distribution instruction set is used to indicate material distribution.

As an optional implementation, in the first aspect of the embodiments of the present invention, the process of using the preset dynamic material distribution rules to process the real-time line edge information of the materials to obtain material distribution parameter information includes:

Processing the real-time line edge information of the material by using the preset delivery time determination rule to obtain the delivery time information;

The real-time line edge information of the material is processed by using the preset delivery quantity determination rule to obtain the delivery quantity information.

As an optional implementation manner, in the first aspect of the embodiments of the present invention, the process of using the preset delivery time determination rule to process the real-time line edge information of the material to obtain the delivery time information includes:

Obtain the line edge safety stock value;

Using the preset first delivery time model to process the lineside safety stock value and the real-time lineside information of the material to obtain the first delivery time;

Using the preset second delivery time model to process the real-time line edge information of the material to obtain the second delivery time;

The first delivery time and the second delivery time are processed by using a preset third delivery time model to obtain delivery time information.

As an optional implementation, in the first aspect of the embodiment of the present invention, the real-time line edge information of the material includes delivery cycle and consumption speed;

The use of the preset delivery quantity determination rules to process the real-time line edge information of the material to obtain the delivery quantity information includes:

According to the distribution cycle, determine the periodic distribution amount;

The period delivery quantity and the consumption rate are processed by using a preset demand correction model to obtain delivery quantity information.

As an optional implementation manner, in the first aspect of the embodiments of the present invention, the determination of the periodic delivery amount according to the delivery cycle includes:

According to the delivery cycle, determine the total demand for the current period;

Determine the target quantity model according to the total demand in the current period and the preset quantity solution model;

The target quantity model is analyzed to obtain the period delivery quantity.

As an optional implementation manner, in the first aspect of the embodiments of the present invention, the material delivery parameter information includes delivery time information and delivery quantity information;

The use of the preset delivery instruction generation rules to process the material delivery parameter information to obtain a delivery instruction set, including:

Get current time information;

judging whether the current time information and the delivery time information meet a time condition, and obtain a second judging result;

When the second judgment result is yes, a delivery instruction set is determined according to the delivery quantity information.

As an optional implementation manner, in the first aspect of the embodiments of the present invention, the determining the delivery instruction set according to the delivery quantity information includes:

Process the real-time line edge information of the material to obtain the delivery route information;

Obtain delivery vehicle information;

Generate a loading instruction according to the delivery vehicle information and the delivery quantity information; the loading instruction is used to instruct the delivery vehicle to load materials that match the quantity of the delivery vehicle;

A material delivery instruction is generated according to the delivery route information and the delivery vehicle information; the material delivery instruction is used to instruct the delivery vehicle to deliver the material to a line edge.

The second aspect of the embodiment of the present invention discloses a data processing device for material distribution, the device includes:

The acquisition module is used to obtain real-time line edge information of materials;

A judging module, configured to judge whether the real-time line edge information of the material satisfies the distribution condition, and obtain a first judgment result;

The first processing module is configured to process the real-time line edge information of the material by using the preset material dynamic distribution rule to obtain material distribution parameter information when the first judgment result is yes;

The second processing module is configured to process the material distribution parameter information using a preset distribution instruction generation rule to obtain a distribution instruction set; the distribution instruction set is used to indicate material distribution.

As an optional implementation manner, in the second aspect of the embodiment of the present invention, the first processing module includes a first processing submodule and a second processing submodule, wherein:

The first processing sub-module is used to process the real-time line edge information of the material by using the preset delivery time determination rule to obtain delivery time information;

The second processing sub-module is configured to process the real-time line edge information of the material by using a preset delivery quantity determination rule to obtain delivery quantity information.

As an optional implementation, in the second aspect of the embodiment of the present invention, the first processing submodule uses the preset delivery time determination rule to process the real-time line edge information of the material to obtain the delivery time information The specific way is:

Obtain the line edge safety stock value;

Using the preset first delivery time model to process the lineside safety stock value and the real-time lineside information of the material to obtain the first delivery time;

Using the preset second delivery time model to process the real-time line edge information of the material to obtain the second delivery time;

The first delivery time and the second delivery time are processed by using a preset third delivery time model to obtain delivery time information.

As an optional implementation manner, in the second aspect of the embodiment of the present invention, the real-time line edge information of the material includes delivery cycle and consumption speed;

The second processing sub-module processes the real-time line edge information of the material by using the preset delivery quantity determination rule, and the specific way to obtain the delivery quantity information is as follows:

According to the distribution cycle, determine the periodic distribution amount;

The period delivery quantity and the consumption rate are processed by using a preset demand correction model to obtain delivery quantity information.

As an optional implementation manner, in the second aspect of the embodiment of the present invention, the second processing submodule determines the periodic delivery amount according to the delivery cycle, including:

According to the delivery cycle, determine the total demand for the current period;

Determine the target quantity model according to the total demand in the current period and the preset quantity solution model;

The target quantity model is analyzed to obtain the period delivery quantity.

As an optional implementation manner, in the second aspect of the embodiment of the present invention, the material delivery parameter information includes delivery time information and delivery quantity information;

The second processing module processes the material distribution parameter information by using the preset distribution instruction generation rules, and the specific way to obtain the distribution instruction set is as follows:

Get current time information;

judging whether the current time information and the delivery time information meet a time condition, and obtain a second judging result;

When the second judgment result is yes, a delivery instruction set is determined according to the delivery quantity information.

As an optional implementation manner, in the second aspect of the embodiment of the present invention, the specific method for the second processing module to determine the delivery instruction set according to the delivery quantity information is as follows:

Process the real-time line edge information of the material to obtain the delivery route information;

Obtain delivery vehicle information;

Generate a loading instruction according to the delivery vehicle information and the delivery quantity information; the loading instruction is used to instruct the delivery vehicle to load materials that match the quantity of the delivery vehicle;

A material delivery instruction is generated according to the delivery route information and the delivery vehicle information; the material delivery instruction is used to instruct the delivery vehicle to deliver the material to a line edge.

The third aspect of the present invention discloses another data processing device for material distribution, which includes:

a memory storing executable program code;

a processor coupled to the memory;

The processor invokes the executable program code stored in the memory to execute some or all of the steps in the data processing method for material distribution disclosed in the first aspect of the embodiments of the present invention.

The fourth aspect of the present invention discloses a computer storage medium, the computer storage medium stores computer instructions, and when the computer instructions are called, it is used to execute the data processing for material distribution disclosed in the first aspect of the embodiments of the present invention Some or all of the steps in the method.

Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

In the embodiment of the present invention, the real-time line edge information of the material is obtained; it is judged whether the real-time line edge information of the material satisfies the distribution condition, and the first judgment result is obtained; when the first judgment result is yes, the real-time distribution rule of the material is used Process the line edge information to obtain material distribution parameter information; use the preset distribution instruction generation rules to process the material distribution parameter information to obtain a distribution instruction set; the distribution instruction set is used to indicate material distribution. It can be seen that the present invention can determine the delivery parameter information by judging the real-time line edge information and delivery conditions of materials and comprehensively processing the real-time line edge information of materials by using the dynamic material delivery rules, and generate delivery instructions for instructing material delivery. It is beneficial to realize the precise matching of material demand and distribution, thereby reducing the cost of material distribution and improving operation efficiency.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings that need to be used in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those skilled in the art, other drawings can also be obtained based on these drawings without creative effort.

Fig. 1 is a schematic flow chart of a data processing method for material distribution disclosed in an embodiment of the present invention;

Fig. 2 is a schematic flow chart of another data processing method for material distribution disclosed in an embodiment of the present invention;

Fig. 3 is a schematic structural diagram of a data processing device for material distribution disclosed in an embodiment of the present invention;

Fig. 4 is a schematic structural diagram of another data processing device for material distribution disclosed in an embodiment of the present invention;

Fig. 5 is a schematic structural diagram of another data processing device for material distribution disclosed in the embodiment of the present invention.

Detailed ways

In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

The terms "first", "second" and the like in the description and claims of the present invention and the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, device, product or equipment comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units not listed, or optionally further includes For other steps or units inherent in these processes, methods, products or devices.

Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present invention. The occurrences of this phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is understood explicitly and implicitly by those skilled in the art that the embodiments described herein can be combined with other embodiments.

The invention discloses a data processing method and device for material distribution, which can determine the distribution parameter information by judging the real-time line information of materials and distribution conditions and comprehensively processing the real-time line information of materials by using dynamic material distribution rules , and generate distribution instructions for instructing material distribution, which is conducive to the precise matching of material demand and distribution, thereby reducing material distribution costs and improving operational efficiency. Each will be described in detail below.

Embodiment one

Please refer to FIG. 1 . FIG. 1 is a schematic flowchart of a data processing method for material distribution disclosed in an embodiment of the present invention. Wherein, the data processing method for material distribution described in FIG. 1 is applied to a data processing system, such as a local server or a cloud server for data processing and management of material distribution, which is not limited in the embodiment of the present invention. As shown in Figure 1, the data processing method for material distribution may include the following operations:

101. Obtain real-time line edge information of materials.

102. Judging whether the real-time line edge information of the material satisfies the delivery condition, and obtaining the first judgment result.

103. When the first judgment result is yes, use the preset material dynamic distribution rule to process the real-time line edge information of the material to obtain the material distribution parameter information.

104. Use the preset distribution instruction generation rules to process the material distribution parameter information to obtain a distribution instruction set.

In the embodiment of the present invention, the above distribution instruction set is used to instruct material distribution.

Optionally, the real-time line edge information of the above-mentioned materials includes delivery cycle, and/or, consumption speed, and/or, real-time line edge quantity, and/or, real-time line edge time, which is not limited in this embodiment of the present invention.

Optionally, the above distribution condition is that the real-time line edge quantity is less than or equal to the corresponding inventory value.

It can be seen that the implementation of the data processing method for material distribution described in the embodiment of the present invention can determine the distribution parameters by judging the real-time line edge information and distribution conditions of the material and comprehensively processing the real-time line edge information of the material by using the dynamic material distribution rules information, and generate distribution instructions for instructing material distribution, which is conducive to the precise matching of material demand and distribution, thereby reducing material distribution costs and improving operational efficiency.

In an optional embodiment, in the above step 103, the preset material dynamic distribution rule is used to process the real-time line edge information of the material to obtain the material distribution parameter information, including:

Use the preset delivery time determination rules to process the real-time line edge information of materials to obtain delivery time information;

Use the preset distribution quantity determination rules to process the real-time line edge information of materials to obtain the distribution quantity information.

It can be seen that the implementation of the data processing method for material distribution described in the embodiment of the present invention can process the real-time line edge information of materials through the delivery time determination rules and delivery quantity determination rules, and obtain delivery time information and delivery quantity information, which is conducive to realizing Accurate matching of material demand and distribution, thereby reducing material distribution costs and improving operational efficiency.

In another optional embodiment, the above-mentioned real-time line edge information is processed by using the preset delivery time determination rules to obtain delivery time information, including:

Obtain the line edge safety stock value;

Use the preset first delivery time model to process the lineside safety stock value and real-time lineside information of materials to obtain the first delivery time;

Use the preset second delivery time model to process the real-time line edge information of the material to obtain the second delivery time;

The first delivery time and the second delivery time are processed by using the preset third delivery time model to obtain delivery time information.

Optionally, the above line edge safety stock value is greater than or equal to the response stock value.

Optionally, the first delivery time model above is

Among them: _T1 is the first delivery time, t is the real-time line time, Q is the real-time line quantity, S is the line safety stock value, and v is the consumption speed.

Optionally, the above-mentioned second delivery time model is

Where: T ₂ is the second delivery time.

Optionally, the third delivery time model above is

Where: T ₃ is the third delivery time, v _c is the delivery vehicle speed, T _f is the delivery correction time, λ is the time correction coefficient, and L is the delivery distance.

It can be seen that implementing the data processing method for material distribution described in the embodiment of the present invention can use the first delivery time model, the second delivery time model and the third delivery time model to comprehensively process the data information to obtain delivery time information, which is beneficial to Realize the precise matching of material demand and distribution, thereby reducing material distribution costs and improving operational efficiency.

In yet another optional embodiment, the real-time line edge information of the above-mentioned materials includes distribution cycle and consumption speed;

The above-mentioned use of the preset distribution quantity determination rules processes the real-time line edge information of materials to obtain the distribution quantity information, including:

According to the delivery cycle, determine the cycle delivery volume;

Use the preset demand correction model to process the periodic distribution volume and consumption speed to obtain the distribution quantity information.

Optionally, the above delivery quantity information includes delivery quantity, and/or delivery period, and/or material information, which is not limited in this embodiment of the present invention.

Optionally, the above demand correction model is

_Qp = _Qd ·v.

Among them: Q _p is the delivery quantity, Q _d is the cycle delivery volume, and v is the consumption speed.

It can be seen that implementing the data processing method for material distribution described in the embodiment of the present invention can determine the periodic delivery volume through the delivery cycle, and obtain the delivery quantity information through further processing of the demand correction model, which is more conducive to realizing the accuracy of material demand and delivery Matching, thereby reducing material distribution costs and improving operational efficiency.

In yet another optional embodiment, the periodic delivery amount is determined according to the delivery period, including:

According to the delivery cycle, determine the total demand for the current period;

Determine the target quantity model according to the current total demand and the preset quantity solution model;

Analyze the target quantity model to obtain the periodic distribution quantity.

In this optional embodiment, as an optional implementation, the above-mentioned specific method of determining the total demand of the current period according to the delivery cycle is as follows:

Select the total amount of demand to be selected that matches the distribution cycle from the preset total amount of demand to be selected as the total amount of demand to be used;

Process the real-time line quantity and response inventory value to obtain the demand correction coefficient;

The demand correction coefficient and the total demand for use are processed to obtain the total demand for the current period.

In this optional embodiment, as another optional implementation, the specific method for determining the target quantity model based on the current total demand and the preset quantity solution model is as follows:

Input the total demand of the current period into the quantity solution model to obtain the objective function;

Input the total demand of the current period into the preset constraint model to be used to obtain the target constraint model.

Optionally, the above quantity solving model is

Among them: min(f) is the objective function, Q _t is the total demand in the current period, C _f is the transportation cost, C _e is the fuel cost, q is the unit material consumption, S _s is the line safety stock value, t _t is the production Time, C _p is the inventory cost per unit volume, V is the material volume, and C _r is the risk cost coefficient.

In this optional embodiment, as yet another optional implementation manner, the above-mentioned target quantity model is analyzed to obtain the specific method of periodic delivery quantity as follows:

According to the preset margin, the target quantity model is analyzed to obtain the delivery quantity range;

According to the real-time line edge quantity and the real-time line edge quantity, determine the cycle delivery volume.

It can be seen that implementing the data processing method for material distribution described in the embodiment of the present invention can obtain the target quantity model through the comprehensive processing of the distribution cycle, and analyze it to obtain the periodic distribution amount, which is more conducive to realizing the material demand and distribution. Accurate matching reduces material distribution costs and improves operational efficiency.

Embodiment two

Please refer to FIG. 2 . FIG. 2 is a schematic flowchart of another data processing method for material distribution disclosed in an embodiment of the present invention. Wherein, the data processing method for material distribution described in FIG. 2 is applied to a data processing system, such as a local server or a cloud server for data processing and management of material distribution, which is not limited in this embodiment of the present invention. As shown in Figure 2, the data processing method for material distribution may include the following operations:

201. Obtain real-time line edge information of materials.

202. Judging whether the real-time line edge information of the material satisfies the delivery condition, and obtaining a first judgment result.

203. When the first judgment result is yes, use the preset material dynamic distribution rule to process the real-time line edge information of the material to obtain the material distribution parameter information.

In the embodiment of the present invention, the above-mentioned material delivery parameter information includes delivery time information and delivery quantity information.

204. Obtain current time information.

In the embodiment of the present invention, the above current time information includes the current time.

205. Judging whether the current time information and the delivery time information satisfy the time condition, and obtaining a second judgment result.

206. When the second judgment result is yes, determine a delivery instruction set according to the delivery quantity information.

In the embodiment of the present invention, for the specific technical details and explanations of technical terms of steps 201-203, refer to the detailed description of steps 101-103 in Embodiment 1, which will not be repeated in this embodiment of the present invention.

Optionally, the delivery time information includes several delivery times.

Optionally, the above time condition is that the current time is equal to the delivery time.

It can be seen that implementing the data processing method for material distribution described in the embodiment of the present invention can determine the distribution parameters by judging the real-time line edge information and distribution conditions of the material and comprehensively processing the real-time line edge information of the material by using the dynamic material distribution rules Information, and then through the comprehensive processing of current time information and material delivery parameter information to generate delivery instructions for instructing material delivery, which is conducive to achieving accurate matching of material demand and delivery, thereby reducing material delivery costs and improving operational efficiency.

In an optional embodiment, in step 206 above, the delivery instruction set is determined according to the delivery quantity information, including:

Process the real-time line edge information of materials to obtain distribution route information;

Obtain delivery vehicle information;

According to the delivery vehicle information and the delivery quantity information, a loading instruction is generated; the loading instruction is used to instruct the delivery vehicle to load materials that match the quantity of the delivery vehicle;

According to the delivery route information and delivery vehicle information, material delivery instructions are generated; the material delivery instructions are used to instruct delivery vehicles to deliver materials to the edge of the line.

In this optional embodiment, the above-mentioned method of processing the real-time line edge information of the material to obtain the delivery route information is as follows:

Determine the path objective function and path constraints according to the real-time line edge information of materials;

get parsing parameters;

Use the preset path planning model to process the analytical parameters, path objective function and path constraints to obtain the path information to be used;

Judging whether the above-mentioned to-be-used path information satisfies the termination condition, and obtaining a path judgment result;

When the determination result of the route is yes, the delivery route information is determined according to the route information to be used.

Optionally, the above path planning model is an artificial intelligence model based on the dynamic step size Drosophila algorithm.

Optionally, the information about the path to be used includes information about the current optimal path, and/or, the number of iterations, and/or, an iteration error, which is not limited in this embodiment of the present invention.

Optionally, the above parsing parameters include error threshold, and/or, iteration threshold, and/or, population size, and/or, upper penalty coefficient, and/or, lower penalty coefficient, and/or, time window satisfaction rate, The embodiments of the present invention are not limited.

Optionally, the specific method for determining whether the above-mentioned to-be-used path information satisfies the termination condition and obtaining the path judgment result is as follows:

Judging whether the iteration error is less than or equal to the error threshold, and obtaining the error judgment result;

When the above error judgment result is yes, the path judgment result is yes;

When the above-mentioned error judgment result is negative, it is judged whether the number of iterations is equal to the iteration threshold, and an iteration judgment result is obtained;

When the above iteration judgment result is yes, the path judgment result is yes.

It can be seen that implementing the data processing method for material delivery described in the embodiment of the present invention can obtain loading instructions and material delivery instructions through comprehensive processing of real-time line edge information, delivery vehicle information, and delivery quantity information, which is more conducive to realizing material delivery. Accurate matching of demand and distribution, thereby reducing material distribution costs and improving operational efficiency.

Embodiment three

Please refer to FIG. 3 . FIG. 3 is a schematic structural diagram of a data processing device for material distribution disclosed in an embodiment of the present invention. Wherein, the device described in FIG. 3 can be applied to a data processing system, such as a local server or a cloud server used for data processing and management of material distribution, which is not limited in the embodiment of the present invention. As shown in Figure 3, the device may include:

An acquisition module 301, configured to acquire real-time line edge information of materials;

A judging module 302, configured to judge whether the real-time line edge information of the material satisfies the delivery condition, and obtain a first judging result;

The first processing module 303 is used to process the real-time line edge information of the material by using the preset material dynamic distribution rule to obtain the material distribution parameter information when the first judgment result is yes;

The second processing module 304 is configured to process the material distribution parameter information by using a preset distribution instruction generation rule to obtain a distribution instruction set; the distribution instruction set is used to instruct material distribution.

It can be seen that the implementation of the data processing device for material distribution described in Figure 3 can determine the distribution parameter information by judging the real-time line edge information and distribution conditions of the material and comprehensively processing the real-time line edge information of the material by using the dynamic material distribution rules , and generate distribution instructions for instructing material distribution, which is conducive to the precise matching of material demand and distribution, thereby reducing material distribution costs and improving operational efficiency.

In another optional embodiment, as shown in FIG. 4 , the first processing module 303 includes a first processing submodule 3031 and a second processing submodule 3032, wherein:

The first processing sub-module 3031 is used to process the real-time line edge information of the material by using the preset delivery time determination rule to obtain the delivery time information;

The second processing sub-module 3032 is used to process the real-time line edge information of the material by using the preset delivery quantity determination rule to obtain the delivery quantity information.

It can be seen that the implementation of the data processing device for material distribution described in Figure 4 can process the real-time line edge information of materials through the rules for determining the delivery time and the number of deliveries, and obtain the delivery time information and delivery quantity information, which is conducive to the realization of material distribution. Accurate matching of demand and distribution, thereby reducing material distribution costs and improving operational efficiency.

In yet another optional embodiment, as shown in Figure 4, the first processing submodule 3031 uses the preset delivery time determination rules to process the real-time line edge information of the material, and the specific way to obtain the delivery time information is as follows:

Obtain the line edge safety stock value;

Use the preset first delivery time model to process the lineside safety stock value and real-time lineside information of materials to obtain the first delivery time;

Use the preset second delivery time model to process the real-time line edge information of the material to obtain the second delivery time;

The first delivery time and the second delivery time are processed by using the preset third delivery time model to obtain delivery time information.

It can be seen that implementing the data processing device for material distribution described in Figure 4 can use the first delivery time model, the second delivery time model and the third delivery time model to comprehensively process data information to obtain delivery time information, which is conducive to realizing Accurate matching of material demand and distribution, thereby reducing material distribution costs and improving operational efficiency.

In yet another optional embodiment, as shown in Figure 4, the real-time line side information of the material includes the delivery cycle and consumption speed;

The second processing sub-module 3032 uses the preset distribution quantity determination rules to process the real-time line edge information of the material, and the specific way to obtain the distribution quantity information is as follows:

According to the delivery cycle, determine the cycle delivery volume;

Use the preset demand correction model to process the periodic distribution volume and consumption speed to obtain the distribution quantity information.

It can be seen that the implementation of the data processing device for material distribution described in Figure 4 can determine the periodic delivery volume through the delivery cycle, and obtain the delivery quantity information through further processing of the demand correction model, which is more conducive to the accurate matching of material demand and delivery , thereby reducing material distribution costs and improving operational efficiency.

In yet another optional embodiment, as shown in FIG. 4 , the second processing submodule 3032 determines the periodic delivery amount according to the delivery cycle, including:

According to the delivery cycle, determine the total demand for the current period;

Determine the target quantity model according to the current total demand and the preset quantity solution model;

Analyze the target quantity model to obtain the periodic distribution quantity.

It can be seen that implementing the data processing device for material distribution described in Figure 4 can obtain the target quantity model through the comprehensive processing of the distribution cycle, and analyze it to obtain the periodic distribution volume, which is more conducive to realizing the accuracy of material demand and distribution. Matching, thereby reducing material distribution costs and improving operational efficiency.

In yet another optional embodiment, as shown in Figure 4, the material delivery parameter information includes delivery time information and delivery quantity information;

The second processing module 304 uses the preset distribution instruction generation rules to process the material distribution parameter information, and the specific way to obtain the distribution instruction set is as follows:

Get current time information;

Judging whether the current time information and delivery time information meet the time condition, and obtaining a second judgment result;

When the second judgment result is yes, a set of delivery instructions is determined according to the delivery quantity information.

It can be seen that the implementation of the data processing device for material distribution described in Figure 4 can determine the distribution parameter information by judging the real-time line edge information of the material and the distribution conditions and comprehensively processing the real-time line edge information of the material by using the dynamic material distribution rules , and then through the comprehensive processing of the current time information and material delivery parameter information to generate delivery instructions for instructing material delivery, which is conducive to the precise matching of material demand and delivery, thereby reducing material delivery costs and improving operational efficiency.

In yet another optional embodiment, as shown in FIG. 4 , the second processing module 304 determines the delivery instruction set according to the delivery quantity information in a specific manner as follows:

Process the real-time line edge information of materials to obtain distribution route information;

Obtain delivery vehicle information;

According to the delivery vehicle information and the delivery quantity information, a loading instruction is generated; the loading instruction is used to instruct the delivery vehicle to load materials that match the quantity of the delivery vehicle;

According to the delivery route information and delivery vehicle information, material delivery instructions are generated; the material delivery instructions are used to instruct delivery vehicles to deliver materials to the edge of the line.

It can be seen that the implementation of the data processing device for material distribution described in Figure 4 can obtain loading instructions and material distribution instructions through comprehensive processing of real-time material information, distribution vehicle information, and delivery quantity information, which is more conducive to realizing material demand. Accurate matching with distribution, thereby reducing material distribution costs and improving operational efficiency.

Embodiment four

Please refer to FIG. 5 . FIG. 5 is a schematic structural diagram of another data processing device for material distribution disclosed in an embodiment of the present invention. Wherein, the device described in FIG. 5 can be applied to a data processing system, such as a local server or a cloud server used for data processing and management of material distribution, which is not limited in the embodiment of the present invention. As shown in Figure 5, the device may include:

A memory 401 storing executable program codes;

a processor 402 coupled to the memory 401;

The processor 402 invokes the executable program code stored in the memory 401 to execute the steps in the data processing method for material distribution described in the first or second embodiment.

Embodiment five

The embodiment of the present invention discloses a computer-readable storage medium, which stores a computer program for electronic data exchange, wherein the computer program enables the computer to execute the data processing method for material distribution described in Embodiment 1 or Embodiment 2 in the steps.

Embodiment six

The embodiment of the present invention discloses a computer program product, the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable the computer to execute the description described in Embodiment 1 or Embodiment 2 Steps in the data processing method for material distribution.

The device embodiments described above are only illustrative, and the modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place , or can also be distributed to multiple network modules. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. It can be understood and implemented by those skilled in the art without any creative effort.

Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation manner can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware. Based on this understanding, the above-mentioned technical solution essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), programmable read-only memory (Programmable Read-only Memory, PROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, EPROM) , One-time Programmable Read-Only Memory (OTPROM), Electronically Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory , CD-ROM) or other optical disk storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

Finally, it should be noted that a data processing method and device for material distribution disclosed in the embodiment of the present invention is only a preferred embodiment of the present invention, and is only used to illustrate the technical solution of the present invention, not to Its limitations; although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that it can still modify the technical solutions described in the aforementioned embodiments, or perform equivalents to some of the technical features Replacement; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims (10)

1. A data processing method for material distribution, characterized in that the method comprises: Obtain real-time line edge information of materials; Judging whether the real-time line edge information of the material satisfies the distribution condition, and obtains the first judgment result; When the first judgment result is yes, use the preset material dynamic distribution rule to process the real-time line edge information of the material to obtain material distribution parameter information; The material distribution parameter information is processed by using a preset distribution instruction generation rule to obtain a distribution instruction set; the distribution instruction set is used to indicate material distribution. 2. The data processing method for material distribution according to claim 1, characterized in that, the real-time line edge information of the material is processed by using the preset material dynamic distribution rules to obtain material distribution parameter information, including : Processing the real-time line edge information of the material by using the preset delivery time determination rule to obtain the delivery time information; The real-time line edge information of the material is processed by using the preset delivery quantity determination rule to obtain the delivery quantity information. 3. The data processing method for material distribution according to claim 2, characterized in that, the use of preset delivery time determination rules to process the real-time line edge information of the material to obtain delivery time information includes: Obtain the line edge safety stock value; Using the preset first delivery time model to process the lineside safety stock value and the real-time lineside information of the material to obtain the first delivery time; Using the preset second delivery time model to process the real-time line edge information of the material to obtain the second delivery time; The first delivery time and the second delivery time are processed by using a preset third delivery time model to obtain delivery time information. 4. The data processing method for material distribution according to claim 2, wherein the real-time line edge information of the material includes a distribution cycle and a consumption rate; The use of the preset delivery quantity determination rules to process the real-time line edge information of the material to obtain the delivery quantity information includes: According to the distribution cycle, determine the periodic distribution amount; The period delivery quantity and the consumption rate are processed by using a preset demand correction model to obtain delivery quantity information. 5. The data processing method for material distribution according to claim 4, characterized in that, determining the periodic distribution amount according to the distribution cycle includes: According to the delivery cycle, determine the total demand for the current period; Determine the target quantity model according to the total demand in the current period and the preset quantity solution model; The target quantity model is analyzed to obtain the period delivery quantity. 6. The data processing method for material distribution according to claim 1, wherein the material distribution parameter information includes delivery time information and delivery quantity information; The use of the preset delivery instruction generation rules to process the material delivery parameter information to obtain a delivery instruction set, including: Get current time information; judging whether the current time information and the delivery time information meet a time condition, and obtain a second judging result; When the second judgment result is yes, a delivery instruction set is determined according to the delivery quantity information. 7. The data processing method for material distribution according to claim 6, wherein said determining a distribution instruction set according to said distribution quantity information includes: Process the real-time line edge information of the material to obtain the delivery route information; Obtain delivery vehicle information; Generate a loading instruction according to the delivery vehicle information and the delivery quantity information; the loading instruction is used to instruct the delivery vehicle to load materials that match the quantity of the delivery vehicle; A material delivery instruction is generated according to the delivery route information and the delivery vehicle information; the material delivery instruction is used to instruct the delivery vehicle to deliver the material to a line edge. 8. A data processing device for material distribution, characterized in that the device comprises: The acquisition module is used to obtain real-time line edge information of materials; A judging module, configured to judge whether the real-time line edge information of the material satisfies the distribution condition, and obtain a first judgment result; The first processing module is configured to process the real-time line edge information of the material by using the preset material dynamic distribution rule to obtain material distribution parameter information when the first judgment result is yes; The second processing module is configured to process the material distribution parameter information using a preset distribution instruction generation rule to obtain a distribution instruction set; the distribution instruction set is used to indicate material distribution. 9. A data processing device for material distribution, characterized in that the device comprises: a memory storing executable program code; a processor coupled to the memory; The processor invokes the executable program code stored in the memory to execute the data processing method for material distribution according to any one of claims 1-7. 10. A computer storage medium, characterized in that the computer storage medium stores computer instructions, and when the computer instructions are invoked, it is used to execute the method for material distribution as described in any one of claims 1-7. data processing method.

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